Proenca de Oliveira, R.[Rodrigo]
* 2025: Using Sentinel Imagery for Mapping and Monitoring Small Surface Water Bodies
Includes: Proenca de Oliveira, R.[Rodrigo] Proença-de Oliveira, R.[Rodrigo]
Proenca, B.[Barbara]
* 2019: Potential of High-Resolution Pléiades Imagery to Monitor Salt Marsh Evolution After Spartina Invasion
Includes: Proenca, B.[Barbara] Proença, B.[Bárbara]
Proenca, C.
* 1997: Box-Counting Approach to Color Segmentation, A
Proenca, H.[Hugo]
* 2005: UBIRIS: A Noisy Iris Image Database
* 2006: Iris segmentation methodology for non-cooperative recognition
* 2006: Method for the Identification of Noisy Regions in Normalized Iris Images, A
* 2007: Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments
* 2007: NICE.I: Noisy Iris Challenge Evaluation - Part I, The
* 2007: Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures
* 2008: Iris Recognition: A Method to Segment Visible Wavelength Iris Images Acquired On-the-Move and At-a-Distance
* 2009: Biometric Recognition: When Is Evidence Fusion Advantageous?
* 2010: Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move
* 2010: Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage
* 2010: Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength
* 2010: UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance, The
* 2011: Introduction to the special issue on unconstrained biometrics: Advances and trends
* 2012: Fusing color and shape descriptors in the recognition of degraded iris images acquired at visible wavelengths
* 2012: Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move
* 2013: Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images
* 2014: Fast and globally convex multiphase active contours for brain MRI segmentation
* 2014: Ocular Biometrics by Score-Level Fusion of Disparate Experts
* 2014: Periocular biometrics: constraining the elastic graph matching algorithm to biologically plausible distortions
* 2014: ReigSAC: fast discrimination of spurious keypoint correspondences on planar surfaces
* 2015: BioHDD: a dataset for studying biometric identification on heavily degraded data
* 2015: Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology, A
* 2015: Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields
* 2015: Face recognition: handling data misalignments implicitly by fusion of sparse representations
* 2015: Guest editorial introduction to the special executable issue on Mobile Iris CHallenge Evaluation part I (MICHE I)
* 2015: Performance evaluation of keypoint detection and matching techniques on grayscale data
* 2015: Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments
* 2016: Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild
* 2016: Mobile Iris CHallenge Evaluation II: Results from the ICPR competition
* 2016: Visible-wavelength iris/periocular imaging and recognition surveillance environments
* 2017: Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments
* 2017: IRINA: Iris Recognition (Even) in Inaccurately Segmented Data
* 2017: Mobile Iris CHallenge Evaluation part II (MICHE II)
* 2017: Results from MICHE II-Mobile Iris CHallenge Evaluation II
* 2018: Insights into the results of MICHE I: Mobile Iris CHallenge Evaluation
* 2018: QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios
* 2020: attention-based deep learning model for multiple pedestrian attributes recognition, An
* 2020: Deep representations for cross-spectral ocular biometrics
* 2020: Editorial for special section at Pattern Recognition Letters-IbPRIA 2019
* 2020: Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
* 2021: Deep Adversarial Framework for Visually Explainable Periocular Recognition, A
* 2021: Editorial to special issue on novel insights on ocular biometrics
* 2021: Iterative weak/self-supervised classification framework for abnormal events detection
* 2021: Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks
* 2021: SSS-PR: A short survey of surveys in person re-identification
* 2021: You look so different! Haven't I seen you a long time ago?
* 2022: 25th ICPR: Real-time Visual Surveillance as-a-Service (VSaaS) for smart security solutions
* 2022: Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
* 2022: Guest Editorial Introduction to the Special Issue on Biometrics Based Methods for Healthcare Applications
* 2022: Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism
* 2022: UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage, The
* 2023: ATOM: Self-supervised human action recognition using atomic motion representation learning
* 2023: Conference on graphics, patterns and images
* 2023: SyPer: Synthetic periocular data for quantized light-weight recognition in the NIR and visible domains
* 2023: Visual and textual explainability for a biometric verification system based on piecewise facial attribute analysis
* 2024: Deep Learning for Iris Recognition: A Survey
* 2024: Image-based human re-identification: Which covariates are actually (the most) important?
* 2024: Periocular Biometrics: A Modality for Unconstrained Scenarios
* 2025: Synthesizing multilevel abstraction ear sketches for enhanced biometric recognition
Includes: Proenca, H.[Hugo] Proença, H.[Hugo] Proença, H. Proenca, H.
59 for Proenca, H.
Proenca, M.D.C.M.S.
* 2013: Automatic Virus Particle Selection: The Entropy Approach
Proenca, P.[Pedro]
* 2021: Dense 3D-Reconstruction from Monocular Image Sequences for Computationally Constrained UAS*
Proenca, P.F.[Pedro F.]
* 2013: Good Appearance and Shape Descriptors for Object Category Recognition
Includes: Proenca, P.F.[Pedro F.] Proença, P.F.[Pedro F.]
Proenca, V.[Vania]
* 2022: Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes
* 2022: Using Satellite NDVI Time-Series to Monitor Grazing Effects on Vegetation Productivity and Phenology in Heterogeneous Mediterranean Forests
Includes: Proenca, V.[Vania] Proença, V.[Vânia]
Proesmans, M.
* 1993: Image enhancement using non-linear diffusion
* 1993: Segmentation and Image Enhancement Using Coupled Anisotropic Diffusion
* 1994: Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera
* 1994: Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera
* 1994: Coupled Geometry-Driven Diffusion Equations for Low-Level Vision
* 1994: Determination of Optical Flow and Its Discontinuities Using Non-Linear Diffusion
* 1995: Groups for grouping: a strategy for the exploitation of geometrical constaints
* 1995: Groups, fixed sets, symmetries, and invariants
* 1996: Active Acquisition of 3D Shape for Moving Objects
* 1996: Affine Reconstruction from Perspective Image Pairs with a Relative Object-Camera Translation in Between
* 1996: Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lengths
* 1996: Mirror and Point Symmetry under Perspective Skewing
* 1996: One-Shot Active 3-D Shape Acquisition
* 1997: Cascaded Hough Transform, The
* 1998: Cascaded Hough Transform as an Aid in Aerial Image Interpretation, A
* 1998: Planar Homologies as a Basis for Grouping and Recognition
* 1998: Reading between the Lines: A Method for Extracting Dynamic 3D with Texture
* 1999: Invariant-based Registration of Surface Patches
* 2005: Realistic speech animation based on observed 3D face dynamics
* 2014: Tackling Shapes and BRDFs Head-On
* 2015: Gaussian Process Latent Variable Model for BRDF Inference, A
* 2017: Material Classification under Natural Illumination Using Reflectance Maps
* 2018: Status Quaestionis and Future Solutions for Using Multi-light Reflectance Imaging Approaches for Preserving Cultural Heritage Artifacts, A
* 2019: End-to-end Lane Detection through Differentiable Least-Squares Fitting
* 2019: Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
* 2019: Uncertainty based model selection for fast semantic segmentation
* 2020: Modeling the Effects of Windshield Refraction for Camera Calibration
* 2020: Scan: Learning to Classify Images Without Labels
* 2021: CoMoDA: Continuous Monocular Depth Adaptation Using Past Experiences
* 2021: MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
* 2021: Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
* 2022: Multi-Task Learning for Dense Prediction Tasks: A Survey
* 2022: Towards Unsupervised Online Domain Adaptation for Semantic Segmentation
* 2022: TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM
* 2023: Padding Investigations for CNNs in Scene Parsing Tasks
* 2023: Replay-based Online Adaptation for Unsupervised Deep Visual Odometry
* 2023: Unbalanced Optimal Transport: A Unified Framework for Object Detection
* 2024: Contrastive Learning for Multi-Object Tracking with Transformers
* 2025: Camera-Only 3D Panoptic Scene Completion for Autonomous Driving Through Differentiable Object Shapes
Includes: Proesmans, M. Proesmans, M.[Marc]
39 for Proesmans, M.
Proestakis, E.[Emmanouil]
* 2018: Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth, An
* 2018: Earth-Observation-Based Estimation and Forecasting of Particulate Matter Impact on Solar Energy in Egypt
* 2018: Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol
* 2020: First Case Study of CCN Concentrations from Spaceborne Lidar Observations, A
* 2022: Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation
* 2024: Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe
Proetsch, M.[Matthew]
* 2016: Investigating Low-Cost Virtual Reality Technologies in the Context of an Immersive Maintenance Training Application